Analytics Engineer
AI summary
Flutterwave is hiring an Analytics Engineer in Lekki, Lagos, to own the data transformation layer by building ingestion pipelines with Estuary, modeling data in dbt, and writing performant SQL and Python on Amazon Redshift. The role focuses on creating clean, tested, and well-documented datasets to support analytics and business teams. Candidates need at least 3 years of experience in analytics or data engineering.
- Owns the analytics transformation layer from raw data to trusted datasets
- Hands-on work with dbt, Estuary, Amazon Redshift, SQL, and Python
- Full-time role based in Lekki, Lagos
- Requires minimum 3+ years in analytics or data engineering
- Apply via Flutterwave's BambooHR careers page
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- Required3+ years of relevant experienceThe job post includes a minimum experience signal.
- PreferredPractical evidence in factory, part_time, armazemThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in LekkiThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Analytics Engineer evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Flutterwave and the role in Lekki.
- Add concrete examples related to factory, part_time, armazem, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from MyJobMag Nigeria; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- MyJobMag Nigeria
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Analytics Engineer role in factory, part_time?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Lekki under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Flutterwave before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
Our mission is to power a new wave of prosperity across Africa. By enabling global digital payments on a continent that’s been largely cut off from the digital economy, we’re creating the infrastructure to power Africa’s growth in the 21st Century. Founded in 2016 by a team of ex-bankers, entrepreneurs and engineers, we provide the under... Read more about this company Analytics Engineer Job Type Full Time Qualification Experience: 3 years Location Lagos City Lekki Job Field Data, Business Analysis and AI The Role: Flutterwave is looking for an analytics engineer who will own the transformation layer that turns raw, streaming, and batch data into clean, tested, and well-documented datasets. Build ingestion pipelines with Estuary, model data in dbt, and write performant SQL and Python on Amazon Redshift to make analytics accurate, fast, and self-serve. Responsibilities: include, but are not limited to: dbt modeling: Build and maintain modular, tested, documented dbt models (staging → intermediate → marts); manage tests, macros, and materializations. Estuary pipelines: Build and monitor real-time and batch ingestion, including CDC from operational sources; handle schema evolution, backfills, and connector issues. Redshift & SQL: Write performant SQL and design dimensional models; tune queries and warehouse performance (dist/sort keys, WLM, cost optimization). Python: Automate transformations, orchestration hooks, custom dbt macros, and API integrations. Data quality & testing: Establish tests, freshness checks, monitoring, and alerting; own CI/CD for analytics code via Git. Documentation & semantics: Maintain model and metric documentation and a consistent semantic layer so definitions stay single-sourced. Collaboration: Partner with analysts, data scientists, and business teams to translate requirements: into scalable, trustworthy datasets. Governance: Apply access controls, PII handling, and data privacy practices (e.g., GDPR, SOC 2). Required competency and skillset to be a waver Minimum 3+ years in analytics engineering, data engineering, or a similar role. Strong production SQL (window functions, CTEs, performance tuning) Hands-on dbt experience: in production Proficiency in Python for data workflows and automation Experience: with Amazon Redshift (dist/sort keys, WLM, tuning) Experience: with ELT/CDC ingestion tooling — Estuary or comparable (Fivetran, Airbyte, Debezium, Kafka) Solid data modeling fundamentals (Kimball dimensional modeling, star schemas) Comfortable with Git-based version control and CI/CD Authorization to work in the country without sponsorship Preferred qualifications include: Real-time / streaming and CDC architecture experience: Orchestration tools (Airflow, Dagster, Prefect, dbt Cloud) BI tools and semantic layers (Looker, Tableau, Power BI) Data observability (Elementary, Great Expectations) AWS ecosystem familiarity (S3, Glue, IAM), Docker Check how your CV aligns with this job Method of Application Interested and qualified? Go to Flutterwave on flutterwavego.bamboohr.com to apply Build your CV for free. Download in different templates.